The predictive model of hydrobiological diversity in the Asana-Tumilaca basin, Peru based on water physicochemical parameters and sediment metal content

The hydrobiological diversity in the basin depends on biotic and abiotic factors. A predictive model of hydrobiological diversity for periphyton and macrobenthos was developed through multiple linear regression analysis (MLRA) based on the physicochemical parameters of water (PPW) and metal content...

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Bibliographic Details
Main Authors: Lisveth Flores del Pino, Nancy Marisol Carrasco Apaza, Víctor Caro Sánchez Benites, Lena Asunción Téllez Monzón, Kimberly Karime Visitación Bustamante, Jerry Arana-Maestre, Diego Suárez Ramos, Ayling Wetzell Canales-Springett, Jacqueline Jannet Dioses Morales, Evilson Jaco Rivera, Alex Uriarte Ortiz, Paola Jorge-Montalvo, Lizardo Visitación-Figueroa
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024039471